The purpose of this project is to Analysis an E-Commerce dataset provided by "The UCI Machine Learning Repository", extract meaning and answer some awesome business questions and show some awesome sales trends.
- Data Cleaning
- Data Manipulation
- Data Exploration
- Data Visualization
- Descriptive Statistics
- Python
- Numpy, Pandas
- Matplotlib
- Jupyter Notebook
This repo contains data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for Analysis for a UK-based and registered non-store online retail. The company mainly sells unique all-occasion gifts, Many customers of the company are wholesalers. Now everybody has their own way of approaching any problem, for Data Analyst their main problem/task is to extract meaning from data and present/visualize it in such an easy and beautiful way for others to understand. I've divided this project in 4 main parts for easy and better understanding of Problem/Analysis.
- Loading Dataset
- Data Cleaning
- Adding some Necessary Columns
- Data Exploration (Most Important)
- linkedin: https://www.linkedin.com/in/Sajjad-Qureshi/
- Gmail: [email protected]